Fuzzy-integration controller design of UAV based on genetic algorithm

Sheng Jing Tang*, Xiang Song, Jie Guo, Yue Yue Ma

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

A fuzzy-integration controller of a small fixed-wing unmanned aerial vehicle (UAV) is proposed according to requirements of longitudinal attitude control and trajectory track. For avoiding complexity of the controller parameters adjustment and improving control performances, the genetic algorithm is used to optimize the membership functions of fuzzy control. The design variables and constrains are defined and the tuning principle of proportional factor is presented during the optimization design phase. Simulation results show that the fuzzy-integration controller has a quicker response and better robustness than traditional PID controller and can solve the problems of low response precision and response curve flutter for single fuzzy controller.

源语言英语
页(从-至)1274-1278
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
33
12
出版状态已出版 - 12月 2013

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